Quantum transceiver antenna and method for construction

Abstract

A Quantum Transceiver Antenna (QTA) and method for construction enable advanced electromagnetic (EM) applications across multiple frequency bands (20 Hz to beyond 1 THz). The QTA, featuring a layered matrix of antenna pixels and toroidal geometries, supports the Electromagnetic Materials Identification Tool (EMIT), Electromagnetic Imaging Device (EMID), Resonant Encoded Memory (REM), and Velocity Information Neural Exchange (VINE) Architecture. EMIT identifies material signatures, EMID generates high-resolution images, REM stores multidimensional EM wave-states as Electromagnetic Holograms (EmH), and VINE enables frequency based information parsing, searching, and resonant encoding; for specific categorized information broadcasting. A Q-Tricity Flash Capacitor harvests quantum digital electricity without interfering with data transfer, powering operations. Utilizing thin-film deposition of metamaterials (cobalt, graphene, diamond), the QTA achieves high-density non-volatile memory, non-line-of-sight imaging, and secure multi-channel communication. Deployable in portable, terrestrial, or space-based systems, the invention supports portable high-resolution: medical imaging, resource mapping, secure data transfer, and real-time analytics.

What is claimed is: 
     
         1 . An Electromagnetic Materials Identification Tool (EMIT), comprising:
 a Quantum Transceiver Antenna (QTA) including a layered matrix of antenna pixels and toroidal geometries, configured to detect and synthesize electromagnetic (EM) signatures of materials, including: naturally occurring elements, gemstones, minerals, and synthetics, across multiple frequency bands from below 20 Hz to beyond 1 THz;   a Transceiver Discriminator (TD) comprising one or more of: a processor, an artificial intelligence (AI) engine, a Field Programmable Gate Array (FPGA), a Field Programmable Photonic Gate Array (FPPGA), a Neural Processing Unit (NPU), or an Application Specific Integrated Circuit (ASIC), the TD operatively coupled to the QTA and configured to capture resonant frequencies and EM signatures comprising multidimensional wave-states, including dynamic states, standing waves, and radiant fields, to store and compare signatures in a database for real-time identification of materials including by volume, concentration, or purity;   wherein the EMIT is deployable as a tool for use in the laboratory, industrial, or field settings via portable devices or integrated systems.   
     
     
         2 . The EMIT of  claim 1 , wherein the QTA pairs with at least one of optical or radio telescopes, microscopes, Magnetic Resonance Imaging (MRI), X-ray imaging (X-RAY) or CAT Scan to enhance resolution and sensitivity for material characterization. 
     
     
         3 . The EMIT of  claim 1 , wherein the TD employs an artificial intelligence (AI) engine to classify material EM signatures and detect anomalies in bonding states or purity levels for real-time material characterization, and Nuclear Magnetic Resonance (NMR). 
     
     
         4 . The EMIT of  claim 1 , wherein the QTA is fabricated using polymeric films, such as copper-clad Kapton, enabling flexible, lightweight deployment as a decal or woven into fabric or clothing for identification, tracking and communications. 
     
     
         5 . The EMIT of  claim 1 , wherein the QTA replicates material EM signatures by transmitting matched resonant frequencies, enabling synthesis and transformation of material properties for industrial applications. 
     
     
         6 . The EMIT of  claim 1 , wherein the QTA includes a Q-Tricity Flash Capacitor layer (Q-Tricity Cap), and wherein the QTA is doped with a superconductive layer of cobalt, graphene or diamond, configured to harvest Q-Tricity, defined as quantum digital electricity, collected from ambient EM radiation from living organisms, and from ambient and broadcast information signals, without interfering with information transfer, storing the energy for power-on-demand in material identification operations and to maintain and manage all connectivity. 
     
     
         7 . The EMIT of  claim 1 , further configured as a tool for element identification by EM signature, the tool configured to:
 establish a new EM wave-state category within the periodic table of elements, wherein the dual particle and wave properties of the QTA enable operation of the QTA for imaging material EM signatures as structured spatial wave-state expressions;   preserve the spin, position, superposition and spatial relationship of the particles within the EM wave-state; and   store the wave-state as an Electromagnetic Hologram (EmH) on a doped layer of superconductive material, as a Resonant Encoded Memory (REM), with the TD subtracting background radiation, cataloguing and processing real-time identification of the material.   
     
     
         8 . The EMIT of  claim 7 , wherein the QTA operates in non-line-of-sight conditions, penetrating solid materials including water, rock, or metals, for material identification in complex environments, and
 wherein operation of the QTA within a spherical chamber at ambient temperature, with boundary-layer magnets, or a spherical surface EM containment wave, enables isolating and concentrating the subject field for hypersensitive-imaging material EM signatures as structured spatial wave-state expressions reducing background radiation anomalies.   
     
     
         9 . An Electromagnetic Imaging Device (EMID), comprising:
 a Quantum Transceiver Antenna (QTA) with a layered matrix of antenna pixels and toroidal geometries, configured to transmit and receive EM signals across multiple frequency bands simultaneously from below 20 Hz to beyond 1 THz, preserving the EM wave-state as Electromagnetic Holograms (EmH); and operate in line-of-sight and non-line-of-sight conditions through solid materials including water, rock, soil, walls, and metals; and   a Transceiver Discriminator (TD) operatively coupled to the QTA, the TD configured to:
 catalogue and process Electromagnetic Holograms (EmH) to generate high-resolution images in real-time of internal biological structures, external materials, or sub-surface resources, capturing multidimensional wave-states including spin, position, superposition, and particle-wave relationships; 
 store EmH as spatial wave-states in a superconductive substrate as Resonant Encoded Memory (REM) for asynchronous processing with multi-parallel bi-synchronous capabilities; and 
 cross-correlate EmH data with a database for real-time translation and visualization, 
   wherein the EMID is deployable as a handheld device or integrated into terrestrial, oceanic, aerial, or space-based systems for medical imaging, resource mapping, biosecurity authentication and emergency search and recovery.   
     
     
         10 . The EMID of  claim 9 , wherein the TD employs an AI engine to perform at least one of: optimize signal processing for enhanced resolution and sensitivity, classify EM signatures of biological entities or resources, and enable real-time 3D mapping with true altitude GPS coordinates. 
     
     
         11 . The EMID of  claim 9 , wherein the QTA includes a Q-Tricity Flash Capacitor layer (Q-Tricity Cap) and wherein the QTA is doped with a superconductive layer of cobalt, graphene or diamond, the Q-Tricity cap being configured to harvest Q-Tricity, defined as quantum digital electricity, collected from ambient EM radiation from living organisms, as well as from ambient and broadcast information signals, without interfering with information transfer and to store the energy for power-on-demand in imaging and authentication operations and to maintain and manage all connectivity. 
     
     
         12 . The EMID of  claim 10 , wherein the layered matrix of antenna pixels is fabricated using thin-film deposition techniques with layered superconductive meta-materials, and is configured to:
 reduce power consumption and enhance energy storage in the Q-Tricity Cap by enabling efficient, non-interfering charge collection;   improve imaging by boosting signal sensitivity and penetration; and   support memory by providing stable, high-density storage of EmH wave-states, as Resonant Encoded Memory (REM) for high efficiency, resolution, and integration into compact devices.   
     
     
         13 . The EMID of  claim 12 , wherein the EMID is further configured as a portable Internal Body Imaging System (IBIS) to generate high-resolution images in real-time of nerves, bones, vascular systems, organs, mitochondria, soft tissue, or cells, wherein the TD when assisted by an AI engine cross correlating a database from medical databases, libraries, archives, MRI, ultrasound, X-RAY or CT scan modalities for visualization and diagnostic accuracy. 
     
     
         14 . The EMID of  claim 12 , configured as a Sub-Ground Imaging System (SGIS) to map resources including precious metals, rare earth elements, or water in deep earth, oceanic, or extraterrestrial environments, using 3D coordinates with true altitude GPS. 
     
     
         15 . The EMID of  claim 12 , further comprising a Quantum Tunneling Transceiver Array (QTTA) having a QTA pixel matrix paired with a Charge-Coupled Device (CCD), or Field Programmable Photonic Gate Array (FPPGA), the QTTA configured to detect and spatially image multidimensional volumes of photons, EM fields, and RF signals as voxels of resonant wave-states, and to support simultaneous imaging, analysis identification, memory and telecommunications. 
     
     
         16 . The EMID of  claim 9 , wherein the EMID is further configured as an Electromagnetic Amplification by Stimulated Emission of Radiation (EM-ASER) device, wherein the QTA's antenna pixels are doped with superconductive meta-materials to amplify EM signals across multiple frequency bands, enhancing EmH signal coherence for imaging and communication applications. 
     
     
         17 . The EMID of  claim 16 , wherein the EM-ASER configuration uses toroidal geometries as tunable EM lenses to dynamically adjust signal gain and focus, enabling multi-parallel quantum telecommunications and high-resolution imaging. 
     
     
         18 . The EMID of  claim 15 , wherein each CCD element employs potential wells formed by magnetic monopoles to accumulate and transfer signal-generated charges for digitization. 
     
     
         19 . A Resonant Encoded Memory (REM) system utilizing Electromagnetic Holography (EmH), the REM system comprising:
 a Quantum Transceiver Antenna (QTA) having a layered matrix of antenna pixels and toroidal geometries,   wherein the QTA is configured to capture and store EM signals as multi-dimensional EmH electromagnetic wave-states, as Resonant Encoded Memory in superconductive materials.   
     
     
         20 . The REM system of  claim 19 , wherein the REM system includes a Transceiver Discriminator (TD) operatively coupled to the QTA, configured to encode EmH signals for near-instantaneous secure data transfer, and pattern-based analysis, wherein the REM system is nonvolatile memory, configured for high-density data storage, secure wireless communication, and imaging applications. 
     
     
         21 . The REM system of  claim 20 , wherein the TD employs an AI-driven difference engine to compare EmH signal topographies without collapsing quantum entanglement, supporting quantum correlations for complex signal chains, signal encoding, signal mapping, signal verification, signal authentication, frequency parsing, broadcasting, or frequency resonance. 
     
     
         22 . The REM system of  claim 20 , wherein the layered matrix of antenna pixels is doped with ferromagnetic meta-materials to store spin states for advanced spintronic memory applications. 
     
     
         23 . The REM system of  claim 20 , wherein the system is configured to maintain an intermediary state of quantum entanglement for non-destructive signal processing allowing for near-instantaneous wireless transfer of large datasets, such as databases or libraries, using EmH signal encoding in near-field or far-field conditions. 
     
     
         24 . The REM system of  claim 19 , wherein the QTA is configured to spatially map multidimensional EM wave-states into voxels within layers of superconductive meta-material, and to store the voxels as Resonant Encoded Memory. 
     
     
         25 . The REM system of  claim 21 , wherein the QTA includes a Q-Tricity Flash Capacitor layer (Q-Tricity Cap), wherein the QTA is doped with a superconductive layer of ferromagnetic material and configured to harvest Q-Tricity, defined as quantum digital electricity, collected from ambient EM radiation from living organisms, as well as from ambient and broadcast information signals, without interfering with information transfer, and to store the energy for power-on-demand in memory, authentication, and imaging operations and maintaining and managing all connectivity. 
     
     
         26 . The REM system of  claim 24 , further comprising:
 a TD operatively coupled to the QTA, configured to instruct the QTA;   a Q-Tricity Cap layer energy reserve for continuous power; and   an AI engine configured to enhance performance efficiency for one or more functions including: material identification, EM bio-signature identification, user authentication, database assembly, imaging, data transfer, energy transfer, power-on-demand, secure communications, secure link authentication, medical scans, and read-and-write memory storage applications.   
     
     
         27 . The REM system of  claim 26 , wherein the REM system is integrated into an Electromagnetic Imaging Device (EMID), comprising:
 a Quantum Transceiver Antenna (QTA) having a layered matrix of antenna pixels and toroidal geometries, configured to capture and store multi-dimensional electromagnetic (EM) wave-states, preserving spin, position, superposition, and particle-wave relationships, as EmH in a superconductive material substrate; and   a Transceiver Discriminator (TD) coupled to the QTA, configured to perform one or more of: process, identify, verify, authenticate, record, replicate or image Electromagnetic Holograms (EmH) wave-states asynchronously with multi-parallel and synchronous capabilities, cross-correlate EmH data with database(s) for real-time imaging and visualization, and encode EmH signals for near-instantaneous secure data transfer, signal transception and pattern-based analysis,   wherein the REM-EMID system supports high-density data storage, continuous power-on-demand, secure telecommunications, data transfer and imaging applications; for portable devices as well as terrestrial, sub-ground, aerial, satellite and space-based systems.   
     
     
         28 . The REM system of  claim 27 , wherein the QTA integrates with a search engine module to perform pattern-based queries on EmH signals, enabling applications in fraud detection, financial transactions, and data analytics. 
     
     
         29 . A QTA-REM (Q-REM) enabled frequency parsed resonant information system called the Velocity Information Neural Exchange (VINE) Architecture, comprising:
 designated categories of information encoded and parsed across an electromagnetic (EM) spectrum by the Transceiver Discriminator (TD) operatively coupled to a Quantum Transceiver Antenna (QTA), for broadcast resonance on specific frequencies as information channels, wherein each: media, message, energy, communication, transaction or data transfer upon entering the VINE architecture, is encoded with an Electromagnetic Holograms (EmH) for the specific category designation frequency resonance; and   a transmission broadcasted for resonance on the encoded designated frequency, and   wherein the VINE architecture Q-REM search engine only sorts and transceives specific information for its target in a designated parsed category channel, for rapid precise access to information;   a Q-REM system with integrated Q-REM search engine, comprising:
 the QTA comprising a layered matrix of antenna pixels and toroidal geometries, configured to transmit and receive EM signals across multiple frequency bands simultaneously; and 
 a Transceiver Discriminator (TD) operatively coupled to the QTA, assisted by an AI engine, configured to:
 categorize and encode information with EM signatures encoded as EmH; 
 assign categorized information to designated frequency bands for broadcasting; 
 reject inappropriate material from entering the VINE; and 
 instruct the QTA to broadcast resonant information on the assigned frequency band channel using EmH REM for transception, 
 
   wherein the VINE Architecture segregates irrelevant information from relevant information through Q-REM signal encoding system, separating information onto designated frequency bands to enhance transmission speed and accurate information accessibility.   
     
     
         30 . The VINE Architecture of  claim 29 , wherein the Q-REM supports simultaneous multi-channel resonance transception, enabling asynchronous and parallel broadcasting across multiple designated frequency bands, and
 wherein information or media identified with multi-category designations, is encoded for resonance in multiple parallel categories and processed as a simultaneous broadcast on multi-designated frequency bands for accessibility across multiple channels,   wherein the categories comprise information into seven resonant neural pathways including Education, Communications, Open market (financial), Health and wellness (telemedicine), Energy, Arts and Entertainment, and Lifeline (emergency interoperability and government use), and   wherein each neural pathway category in the VINE architecture is further parsed into multiple channels within the designation, fordigital archives, content libraries, music, media, messaging, communications, affinities (social hubs), data transfer, imaging, energy, barter exchange, buying and selling, financial transactions, distributed ledger, digital wallets, purses, access, authentication, intellectual property, track-and-trace, IoT, navigation, telemetry, emergency response, community, weather, security and geo-location.